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Abschlussarbeiten

Wir freuen uns über Ihr Interesse Ihre Abschlussarbeit in unserer Gruppe zu machen. In der Regel sind die Abschlussarbeiten an die aktuellen Forschungsprojekte angebunden. Hier finden Sie einige Themenvorschläge und die dazugehörigen Kontaktpersonen. Für weitere Themen können Sie gerne bei anfragen.

 

 

Abschlussarbeitsthemen
Thema
Kontaktperson
Proto-object detection mechanisms for visual search on dynamic visual scenes
(Computer Vision, Machine Learning, Psychophysics)

Computational modeling of separable resonant circuits controlled by different interneuron types
(Computational Neuroscience, Biophysically Detailed Modeling)

The influence of cell-intrinsic alterations in schizophrenia on oscillatory behaviour in cortical neural networks
(Computational Neuroscience, Computational Psychiatry, Spiking Neural Networks&Mean-Field Modeling)

Automated validation and comparison of models of neurophysiological and neurocognitive biomarkers ofpsychiatric disorders
(Computational Neuroscience, Computational Psychiatry, Neuroinformatics)

Modelling Resting-State MEG Dynamics in Health and Disease
(Connectomics, Neuropsychiatric Disorder, Network Science, Computational Psychiatry)

Mechanistic Models of Excitatory-Inhibitory Interactions in the Auditory Cortex in Schizophrenia
(Neuropsychiatric Disorder, Computational Neuroscience, Computational Psychiatry)

Meta-learning techniques in Reinforcement Learning, with applications on multi-agent cooperative tasks. The game of Hanabi.

Risk-sensitive, partially-observable Markov decision processes. A theoretical project

Risk-sensitive, partially-observable Markov decision processes with application on Texas Hold'em

Training generative networks with optimal transport methods

 

Something related to generative models, meta-learning, reinforcement learning and fairness in machine learning. (Please write me if you are interested)

Risk-sensitive choice and reinforcement learning under incomplete information (POMDP)

Meta reinforcement learning in statistical sequence learning environments

Hierarchical reinforcement learning representations in ventromedial prefrontal cortex (fMRI)

Reward-based decision making process under perceptual and economic uncertainty (human psychophysics)

 

 

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